Science

Summary
Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data.
About the Technology
This book is about the science of reading, analyzing, and presenting geospatial data programmatically,more » using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how.
About the Book
Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models.
What's Inside
* Geoprocessing from the ground up
* Read, write, process, and analyze raster data
* Visualize data with matplotlib
* Write custom geoprocessing tools
* Three additional appendixes available online
About the Reader
To read this book all you need is a basic knowledge of Python or a similar programming language.
About the Author
Chris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS.Table of Contents
1. Introduction
2. Python basics
3. Reading and writing vector data
4. Working with different vector file formats
5. Filtering data with OGR
6. Manipulating geometries with OGR
7. Vector analysis with OGR
8. Using spatial reference systems
9. Reading and writing raster data
10. Working with raster data
11. Map algebra with NumPy and SciPy
12. Map classification
13. Visualizing data
14. Appendixes
* A - Installation
* B - References
* C - OGR - online only
* D - OSR - online only
* E - GDAL - online only « less

About This Book
Perform data analysis and build predictive models on huge datasets that leverage
Apache Spark Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges
Work through practical examples on real-worldmore » problems with sample code snippets
Who This Book Is For
This book is for anyone who wants to leverage Apache Spark for data science and machine learning. If you are a technologist who wants to expand your knowledge to perform data science operations in Spark, or a data scientist who wants to understand how algorithms are implemented in Spark, or a newbie with minimal development experience who wants to learn about Big Data Analytics, this book is for you!
What You Will Learn
Consolidate, clean, and transform your data acquired from various data sources
Perform statistical analysis of data to find hidden insights
Explore graphical techniques to see what your data looks like
Use machine learning techniques to build predictive models
Build scalable data products and solutions
Start programming using the RDD, DataFrame and Dataset APIs
Become an expert by improving your data analytical skills
In Detail
This is the era of Big Data. The words ‘Big Data’implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages. Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R. « less

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As well as providing the crucial background and insights enabling students to identify a key market, it also offers a highly practical guide to undertaking genuine product validation and producing a feasibility study, as well as providing vital insights into the challenges and demands in forming a technology based company. « less

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Schaum's has Satisfied Students for 50 Years.
Now Schaum's Biggest Sellers are in New Editions!
For half a century, more than 40 million students have trusted Schaum's to help them study faster, learn better, and get top grades. Now Schaum's celebrates its 50th birthday with a brand-new look, amore » new format with hundreds of practice problems, and completely updated information to conform to the latest developments in every field of study.
Schaum's Outlines-Problem Solved
Linear algebra is a foundation course for students entering mathematics, engineering, and computer science, and the fourth edition includes more problems connected directly with applications to these majors. It is also updated throughout to include new essential appendices in algebraic systems, polynomials, and matrix applications. « less